ArticleBMC plant biology2025
Characterizing drought-resilient cotton genotypes through morpho-physiological and biochemical traits at flowering stage.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Article
- Integrated Morpho-Physiological and Biochemical Markers Rank Wheat Genotypes for Salinity and Drought Tolerance at the Seedling Stage.Plants (Basel, Switzerland) · 2026Article
- Article
- Responses of germination, photosynthesis, and gene expression in four cotton varieties under drought stress.Frontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drought is a major abiotic stressor significantly reducing global crop productivity by disrupting key morpho-physiological and biochemical processes, including stomatal conductance, photosynthetic efficiency, and water use dynamics. This study systematically assessed the effects of water scarcity on fifty genetically diverse cotton genotypes under three different conditions: normal field capacity (100% FC, monitored by soil moisture weight), moderate drought stress (60% FC), and severe drought stress (40% FC) during the flowering stage, a critical period for crop yield. Key morphological (shoot length, root length, biomass), physiological (relative water content, stomatal conductance), and biochemical traits (antioxidant enzyme activity, oxidative stress markers) were evaluated across all treatments. The results revealed a gradual decline in trait response as drought severity increased, with significant genotype-dependent variations. Histograms captured frequency distribution trends across different stress levels, while principal component analysis (PCA) differentiated trait expressions among genotypes. Pearson's correlation analysis highlighted strong positive and negative relationships among the traits based on their drought responses. The multi-trait genotype-ideotype distance index (MGIDI) proved to be a valuable tool, identifying G
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